The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Spaceborne GNSS reflectometry for ocean winds: First results from the UK TechDemoSat‐1 mission
Open accessAbstract
First results are presented for ocean surface wind speed retrieval from reflected GPS signals measured by the low Earth orbiting UK TechDemoSat‐1 satellite (TDS‐1). Launched in July 2014, TDS‐1 provides the first new spaceborne Global Navigation Satellite System‐Reflectometry (GNSS‐R) data since the pioneering UK‐Disaster Monitoring Mission (UK‐DMC) experiment in 2003. Examples of onboard‐processed delay‐Doppler maps reveal excellent data quality for winds up to 27.9 m/s. Collocated Advanced Scatterometer (ASCAT) winds are used to develop and evaluate a wind speed algorithm based on signal‐to‐noise ratio (SNR) and the bistatic radar equation. For SNRs greater than 3 dB, wind speed is retrieved without bias and a precision around 2.2 m/s between 3 and 18 m/s even without calibration. Exploiting lower SNR signals, however, requires good knowledge of the antenna beam, platform attitude, and instrument gain setting. This study demonstrates the capabilities of low‐cost, low‐mass, and low‐power GNSS‐R receivers ahead of their launch on the NASA Cyclone GNSS (CYGNSS) constellation in 2016.
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Cites
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A pasive reflectometry and interferometry system (PARIS) application to ocean altimetry
Martín‐Neira, M. (1993) · ESA journal · Cited by 543
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Zavorotny, V. U., Gleason, S., Cardellach, E., & Camps, A. (2014) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2014.2374220 · Cited by 522
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Spaceborne GNSS-R Minimum Variance Wind Speed Estimator
Clarizia, M. P., Ruf, C. S., Jales, P., & Gommenginger, C. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2014.2303831 · Cited by 280
Self-citationGleason, S. T., & Gebre‐Egziabher, D. (2009) · Cited by 266
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Analysis of GNSS‐R delay‐Doppler maps from the UK‐DMC satellite over the ocean
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Cited by
Chew, C. C., & Small, E. E. (2018) · Geophysical Research Letters · doi:10.1029/2018gl077905 · Cited by 392
Analysis of CYGNSS Data for Soil Moisture Retrieval
Clarizia, M. P., Pierdicca, N., Costantini, F., & Floury, N. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2019.2895510 · Cited by 277
Assessment of CYGNSS Wind Speed Retrieval Uncertainty
Ruf, C. S., Gleason, S., & McKague, D. S. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2018.2825948 · Cited by 128
Characterization of River Width Measurement Capability by Space Borne GNSS-Reflectometry
Warnock, A., Ruf, C. S., & Knoll, A. L. (2024) · Remote Sensing · doi:10.3390/rs16081446 · Cited by 4
Metadata
- Authors
- Foti, G., Gommenginger, C., Jales, P., Unwin, M., Shaw, A., Robertson, C., & Roselló, J.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2015-07-07
- Volume
- 42
- Issue
- 13
- Pages
- 5435-5441
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W1840723247
- Cited by
- 349
- References
- 12
- FWCI
- 23.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
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